Float Guard – Autonomous Drone for Flood Rescue and Emergency Aid Delivery

Float Guard is a novel drone-based solution developed to address the critical challenges associated with water-based rescue operations. In situations involving floods, accidental drowning, or water-related disasters, victims are often stranded in inaccessible or hazardous environments where conventional rescue methods such as boats or helicopters are either delayed, limited by terrain, or pose high risk to human rescuers. Float Guard is designed to overcome these limitations by employing a cost-effective autonomous drone platform equipped with a wide array of features aimed at minimizing response time and maximizing rescue efficiency. The drone is capable of manually or autonomously navigating to victims and deploying a compact, non-inflated rescue tube that automatically inflates upon water contact. This mechanism allows the system to carry multiple flotation devices while maintaining a lightweight profile. The drone integrates real-time GPS tracking, live video transmission, a custom-designed lightweight frame constructed using ACP and carbon-nylon 3D-printed components, and mission planning capabilities for autonomous flight execution. Float Guard is implemented in multiple stages, starting with manual operation, followed by pre-programmed mission execution, and advancing toward AI-powered victim detection and autonomous response. The inflation mechanism has been prototyped using both CO₂-based and chemical reaction-based approaches to ensure efficiency and reliability. This paper details the design and development process, system architecture, inflation strategies, field testing results, and outlines future enhancements including the integration of AI for intelligent real-time victim recognition and adaptive response.

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-03-14
DOI
https://doi.org/10.48175/ijarsct-25202
Primary Topic
Environmental Engineering and Cultural Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Float Guard – Autonomous Drone for Flood Rescue and Emergency Aid Delivery

Mr. D. B. Patil, Mukesh Desai, Margaret Tate, Ms. P. D. Gaikwad et al.
International Journal of Advanced Research in Science Communication and Technology
Environmental Engineering and Cultural Studies
article

Float Guard – Autonomous Drone for Flood Rescue and Emergency Aid Delivery

Mr. D. B. Patil, Mukesh Desai, Margaret Tate, Ms. P. D. Gaikwad, Mr. P. M. Katkar, Mr. R. D. Salunkhe
article en

Abstract

Float Guard is a novel drone-based solution developed to address the critical challenges associated with water-based rescue operations. In situations involving floods, accidental drowning, or water-related disasters, victims are often stranded in inaccessible or hazardous environments where conventional rescue methods such as boats or helicopters are either delayed, limited by terrain, or pose high risk to human rescuers. Float Guard is designed to overcome these limitations by employing a cost-effective autonomous drone platform equipped with a wide array of features aimed at minimizing response time and maximizing rescue efficiency. The drone is capable of manually or autonomously navigating to victims and deploying a compact, non-inflated rescue tube that automatically inflates upon water contact. This mechanism allows the system to carry multiple flotation devices while maintaining a lightweight profile. The drone integrates real-time GPS tracking, live video transmission, a custom-designed lightweight frame constructed using ACP and carbon-nylon 3D-printed components, and mission planning capabilities for autonomous flight execution. Float Guard is implemented in multiple stages, starting with manual operation, followed by pre-programmed mission execution, and advancing toward AI-powered victim detection and autonomous response. The inflation mechanism has been prototyped using both CO₂-based and chemical reaction-based approaches to ensure efficiency and reliability. This paper details the design and development process, system architecture, inflation strategies, field testing results, and outlines future enhancements including the integration of AI for intelligent real-time victim recognition and adaptive response.

International Journal of Advanced Research in Science Communication and Technology
Bhailalbhai and Bhikhabhai Institute of Technology (IN)
Openalex Percentile: Top 91%
Environmental Engineering and Cultural Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.